Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD32C6E79224835D80C1D1ACEF63F490934AD0AFF255DAD0D6AE8B7844A7CD4F617C60 |
|
CONTENT
ssdeep
|
192:amNXjywAcQSyUZxBcFL/rjywAcQSyUZxBcFL/W:TNX2NjaNcFn2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fc0c0c0a39a9e |
|
VISUAL
aHash
|
ff83830393ffffff |
|
VISUAL
dHash
|
47171f4f77615142 |
|
VISUAL
wHash
|
ff01010103fdbf3e |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
47171f4f77615142,704958434f7cf36b,07c5d1d9d9d15545,272529a3f3781f4f,8e332123229d4766,8f81c2c9c7c7c3c2 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 538 techniques to evade detection by security scanners and make reverse engineering more difficult.